For years, it seemed obvious that the best way to scale up artificial intelligence models was to throw more upfront computing resources at them. The theory was that performance improvements are ...

A Google AI product chief says he thinks that scaling test-time compute could be a direct path to reaching artificial ...

Last month, AI founders and investors told TechCrunch that we’re now in the “second era of scaling laws,” noting how established methods of improving AI models were showing diminishing returns. One ...

MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...

Researchers introduce BATS and Budget Tracker, two new methods that help agents prioritize high-value actions, cutting API costs by over 30% while boosting accuracy.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI It seems like almost every week or every month now, people ...

Google DeepMind’s recent research offers a fresh perspective on optimizing large language models (LLMs) like OpenAI’s ChatGPT-o1. Instead of merely increasing model parameters, the study emphasizes ...

Technology trends almost always prioritize speed, but the latest fad in artificial intelligence involves deliberately slowing chatbots down. Machine-learning researchers and major tech companies, ...